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Related Concept Videos

Beams01:30

Beams

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Beams are integral components of structural engineering and construction, designed to support loads applied at various points along their length. These long, straight members can be classified based on geometry, cross-section, support type, and equilibrium condition.
Based on geometry, beams can be straight, tapered, or curved. Straight beams are the most common type and have a constant cross-section throughout their length. Tapered beams, on the other hand, have a varying cross-section along...
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Variability: Analysis01:11

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Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
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Random Variables01:09

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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
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Deflection of a Beam01:19

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Accurately determining beam deflection and slope under various loading conditions in structural engineering is crucial for ensuring safety and structural integrity. Singularity functions offer a streamlined approach to analyzing beams, especially when multiple loading functions complicate the bending moment equation.
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Graphs of Equations in Two Variables01:30

Graphs of Equations in Two Variables

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An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
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Variables Affecting Phosphorescence and Fluorescence01:26

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Fluorescence and phosphorescence are essential phenomena in fields like analytical chemistry, biological imaging, and materials science, where they detect molecular properties and visualize cellular structures. Understanding the variables that influence these luminescent behaviors is crucial for maximizing accuracy and efficiency in their applications. These variables can broadly be grouped into chemical structure, solvent properties, and external conditions, each playing a distinct role in...
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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

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Toward A variable RBE for proton beam therapy.

Henning Willers1, Antino Allen2, David Grosshans3

  • 1Department of Radiation Oncology, Massachusetts General Hospital, Boston, USA.

Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|June 19, 2018
PubMed
Summary
This summary is machine-generated.

Proton beam therapy (PBT) uses a standard relative biological effectiveness (RBE) of 1.1. Research suggests RBE may vary based on tumor DNA repair defects, potentially personalizing PBT for better cancer treatment and reduced toxicity.

Keywords:
Carbon ionsDNA repairProtonsRelative biological effectiveness

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Area of Science:

  • Radiation oncology
  • Medical physics
  • Cancer genomics

Background:

  • Proton beam therapy (PBT) currently uses a generic relative biological effectiveness (RBE) of 1.1 for human cancers and normal tissues.
  • The current RBE is not based on extensive tumor models or clinically relevant endpoints for organs at risk.
  • Inter-tumoral genomic heterogeneity influences cancer treatment response, with DNA repair pathway defects potentially increasing RBE.

Purpose of the Study:

  • To review experimental data on DNA damage repair impacting RBE values and biophysical modeling for PBT.
  • To explore the potential for predicting variable RBE values to personalize PBT for individual patients.
  • To discuss approaches for therapeutically exploiting PBT's biological advantages and mitigating treatment toxicity.

Main Methods:

  • Review of experimental data on proton damage to DNA and its impact on RBE.
  • Examination of in vitro and in vivo experimental approaches for studying proton sensitivity.
  • Discussion of recent clinical findings related to PBT and RBE variations.

Main Results:

  • Defects in DNA repair pathways in cancer subsets are associated with increased RBE in vitro.
  • Limited in vivo and clinical data currently confirm increased RBE values in human cancers.
  • Evidence for variable RBE in normal tissue toxicity is sparse and conflicting.

Conclusions:

  • Predicting variable RBE values could enable personalized PBT, selecting patients with proton-sensitive cancers and potentially de-escalating doses to reduce normal tissue toxicity.
  • Identifying RBE biomarkers could lead to biologically optimized therapies for enhanced local control and better understanding/prevention of PBT-associated toxicities.
  • Further research into the biological effects of protons is crucial for advancing PBT's clinical application and improving patient outcomes.